@inbook{5bc1aa4a5bcc4d0caba62b9d276db3dc,
title = "The classifier algorithm for recognition of basic driving scenarios",
abstract = "This paper concerns three common but not recognizable driving practices based on sequences of signals from accelerometers, gyroscopes and electrooculograms obtained using state-of-the-art smart eyeglasses. As a result we obtained recordings from twenty volunteers with a set of flagged data assigned to specific actions taken while driving a car during driving lessons. Proposed method achieved a high level of accuracy based on data from smart eyeglasses, predicting appropriate activity classes in approximately 85\% of cases without prior knowledge.",
keywords = "Driving, Pattern recognition, Smart glasses, Wearable devices",
author = "Rafa{\l} Doniec and Szymon Sieci{\'n}ski and Natalia Piaseczna and Katarzyna Mocny-Pacho{\'n}ska and Marta Lang and Jacek Szymczyk",
note = "Publisher Copyright: {\textcopyright} The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.",
year = "2021",
doi = "10.1007/978-3-030-49666-1\_28",
language = "English",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "359--367",
booktitle = "Advances in Intelligent Systems and Computing",
address = "Germany",
}